The Ampin App deep insights into the Atlassian community

Atlassian supports a distributed-first workforce, letting employees choose where to work, hire globally, and conduct virtual interviews and onboarding. It provides agile, DevOps, ITSM, and work management software—including Jira Software, Confluence, and Jira Service Management—that help teams organize, discuss, and complete shared work and are used by Fortune 500 companies and other major organizations worldwide. The Mid-Market sales team manages a portfolio of mid-sized customers, focusing on cloud-first opportunities, cross-sell and user expansion, and achieving revenue targets, while advocating for customers to product and engineering. They collaborate with Channel Partners, Product Specialists, Account Managers, and Solution Engineers, guided by Atlassian values and a team approach to deploying and utilizing Atlassian at scale. Responsibilities include developing named Account or Territory plans (India), driving growth and engagement in the mid-market, qualifying opportunities, building relationships, delivering product demonstrations, staying informed on industry trends, providing regular updates to management, and occasional travel to meet clients and attend events.

The mission is to power trusted cross-product knowledge search across Atlassian’s products, and they’re seeking a product-minded ML systems leader with deep expertise in applied ML and production ML infrastructure. As a Senior Machine Learning Systems Engineer, you’ll operate at the intersection of search, ML and experimentation and work with cross-functional teams to deliver ML-powered solutions that impact millions of customers. Your responsibilities include collaborating to solve problems from technical design to launch, building POC systems and evolving them into reliable, scalable services, and contributing to best practices in model deployment, monitoring, and evaluation while shipping end-to-end innovations with ML engineers, backend developers, and product teams. You’ll develop robust feature engineering pipelines for offline training and online inference at scale, deploy ranking models to optimize user experience and business objectives, and create tools and infrastructure to support rapid experimentation and deployment while optimizing latency, throughput, and resource efficiency for search workloads. The role also involves transferring your depth of knowledge from your current language to excel as a Software Engineer, communicating complex technical concepts to both technical and non-technical stakeholders, delivering code reviews and documentation, and mentoring junior members.

Atlassian offers flexible work options—office, remote, or hybrid—through TEAM anywhere, with interviews and onboarding conducted virtually for a globally distributed workforce. As a Senior Software Engineer, you will design, build, and optimize high-performance, scalable, and resilient backend storage on AWS, developing distributed storage systems, APIs, and services that provide low-latency, high-throughput, and fault-tolerant data storage. You will collaborate with principal engineers, architects, SREs, and product teams to define technical roadmaps, improve storage efficiency, and optimize access patterns, driving performance tuning, data modeling, caching strategies, and cost optimization across AWS storage services like S3, DynamoDB, EBS, EFS, FSx, and Glacier. You will contribute to infrastructure automation, security practices, and monitoring using Terraform, CloudWatch, Prometheus, and OpenTelemetry, and be responsible for troubleshooting production incidents related to data integrity, latency spikes, and storage failures to ensure high availability and disaster recovery. You will mentor junior engineers, participate in design reviews and architectural discussions, and advocate for CI/CD automation, infrastructure as code, and observability-driven development, with your work directly enabling scalable storage infrastructure while maintaining security, reliability, and compliance.

As a Principal Data Scientist at Atlassian, you will partner with business leads on high-impact analytics, strategy, and operations and turn data into visualizations that power leadership decisions. Atlassians can choose to work in-office, from home, or in a hybrid model, and the company hires in any country where it has a legal entity. You will collaborate with cross-functional partners, apply quantitative analysis, experimentation, and data storytelling to develop strategies and solve key business challenges, focusing on developing hypotheses through various methodologies and frameworks. You will define, understand, and test opportunities to improve the products and the business, influencing roadmaps through insights and recommendations and partnering with teams to inform, influence, and execute strategic decisions. You will forecast and monitor key product metrics to measure success, shape product development, quantify opportunities, and communicate insights broadly to leadership using storytelling techniques.

Atlassian offers flexible work arrangements (office, home, or hybrid) and hires globally wherever there’s a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. The Mid-Market Manager India role leads a team focused on acquiring and managing mid-market customers in India, with remote work or a Bengaluru office option, and involves developing tailored strategies and nurturing key accounts. Key responsibilities include leading the mid-market account-executive team, expanding Asia-focused mid-market market share, elevating the Atlassian brand through executive engagement and events, analyzing data for growth, managing key client relationships and negotiations, mentoring and performance management, recruiting and onboarding, cross-functional collaboration, and reporting to senior management. The candidate should have sales experience as both an individual contributor and a manager with customers in India, a track record of hitting targets, and experience building multi-country sales strategies while considering APAC economics and cultural nuances, plus knowledge of Atlassian solutions in India due to regulatory and language factors, and proficiency with CRM, pipeline management, analytics, and value/solution selling. They should be motivated to challenge the traditional sales model, thrive in a fast-paced international environment, take initiative, and enjoy sharing learnings with the team.

The role is a Principal Data Scientist at Atlassian focused on Service Collection, using analytics, data science and AI/ML to identify opportunities and influence the initiative's roadmap. It calls for superb business instincts, comfort with executive stakeholders, proficiency in statistical analyses, AI/LLM expertise, cross-functional collaboration, and mentoring junior data scientists. Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country where it has a legal entity. Responsibilities include influencing strategy around Service Collection by blending end-to-end business acumen with advanced data science, defining and reporting department-level KRs for the R&D team, and building measurement frameworks and models to accelerate growth and influence the product roadmap. The role also entails envisioning, scoping, and leading high-impact projects with Engineering, Product Management and Design, Data Engineering and Research & Insights teams, and fostering a world-class Data Science culture through training and mentoring.

The Security Testing team's mission is to partner with Atlassian internal teams globally to provide innovative, holistic security testing for Atlassian products, platforms, and customers through high-quality manual penetration testing and code review. The role supports Atlassian’s security team, engineers, and customers by delivering world-class technical assurance of software, platforms, and services. Atlassian offers flexible work arrangements—office, home, or a mix—supported by a distributed-first culture, with virtual interviews and onboarding and hiring in any country where the company has a legal entity. You will technically validate the state of Atlassian’s security controls and work closely with security and engineering teams, enjoying vulnerability hunting and seeking issues beyond automated tooling. Because you work with product engineering, you must be able to read and understand code, with Java, Go, and Python being the most common languages across products.

The Security Testing team’s mission is to partner with Atlassian internal teams globally to provide innovative and holistic security testing for Atlassian products, platforms, and customers. The role supports Atlassian’s security team, engineers, and customers by performing high-quality manual penetration testing and code reviews to provide technical assurance. Atlassian supports flexible work locations—office, home, or hybrid—and hires in any country where it has a legal entity; interviews and onboarding are conducted virtually as part of a distributed-first approach. The role involves validating the state of Atlassian’s technical security controls and collaborating closely with security and engineering teams, with a focus on vulnerability hunting beyond automated tools. Candidates should be able to read and understand code to strengthen security, working with product engineering teams, with Java, Go, and Python being the most common languages.